Senior Machine Learning Engineer
ReplicantSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer Software, Data & AnalyticsIndustries
Requirements
Candidates should have a strong background in machine learning, particularly in developing and deploying language models. Proficiency in NLP techniques and experience with large-scale machine learning systems are essential. Familiarity with state-of-the-art algorithms and architectures for recommender systems is also required.
Responsibilities
The Staff Machine Learning Engineer will develop, design, and maintain advanced applied LLM projects, focusing on search result retrieval and recommender systems. They will participate in various NLP activities to optimize model performance and stay updated on the latest advancements in the field. Additionally, they will take end-to-end ownership of large machine learning systems, overseeing data pipelines, feature engineering, model training, and production integration.
Skills
search
retrieval
LLM modeling
recommender systems
NLP
prompting
retrieval-augmented generation
data pipelines
production integration
Quora
Global knowledge sharing and AI integration platform
About Quora
Quora is a global platform for knowledge sharing that attracts over 400 million unique visitors each month. It allows users to share insights on a wide variety of topics, creating a community focused on learning and connection. Users include individuals looking for information, experts sharing their knowledge, and businesses engaging with a knowledgeable audience. Quora also features Poe, a platform that combines several AI language models like GPT-4 and DALL-E 3, enabling users to chat and explore these technologies in one place. Unlike many competitors, Quora's business model relies on targeted advertising to its large user base, allowing it to continuously expand its offerings to meet user needs.
Key Metrics
Mountain View, CaliforniaHeadquarters
2009Year Founded
$351.2MTotal Funding
LATE_VCCompany Stage
Consumer Software, AI & Machine Learning, EducationIndustries
1,001-5,000Employees